Rainfall-induced shallow landslide detachment, transit and runout susceptibility mapping by integrating machine learning techniques and GIS-based approaches
Rainfall-induced shallow landslides represent a serious threat in hilly and mountain areas
around the world. The mountainous landscape of the Cinque Terre (eastern Liguria, Italy) is …
around the world. The mountainous landscape of the Cinque Terre (eastern Liguria, Italy) is …
Debris-flow susceptibility assessment in China: a comparison between traditional statistical and machine learning methods
Debris flows, triggered by dual interferences extrinsically and intrinsically, have been
widespread in China. The debris-flow susceptibility (DFS) assessment is acknowledged as …
widespread in China. The debris-flow susceptibility (DFS) assessment is acknowledged as …
Vulnerability assessment of mountainous households to landslides: A multidimensional study in the rural Himalayas
Landslides hazards are serious concerns for the mountainous regions in the Indian
Himalayas specially for the rural areas where many of them go under the radar. The study …
Himalayas specially for the rural areas where many of them go under the radar. The study …
Landslide inventory and susceptibility models considering the landslide typology using deep learning: Himalayas, India
Landslide susceptibility modeling is complex as it involves different types of landslides and
diverse interests of the end-user. Developing mitigation strategies for the landslides …
diverse interests of the end-user. Developing mitigation strategies for the landslides …
Indicator-based approach for assigning physical vulnerability of the houses to landslide hazard in the Himalayan region of India
Although houses are the most affected physical element by landslides, studies on the
vulnerability of houses are limited, particularly in the Himalayan region. The present …
vulnerability of houses are limited, particularly in the Himalayan region. The present …
[HTML][HTML] Space-time modeling of cascading hazards: Chaining wildfires, rainfall and landslide events through machine learning
The current study sets out to explore yearly landslide susceptibility dynamics on slopes
regularly affected by fires. To do so, two yearly inventories have been generated, one for the …
regularly affected by fires. To do so, two yearly inventories have been generated, one for the …
Perigos geomorfológicos em Portugal: estado da arte
J Zêzere - Finisterra-Revista Portuguesa de Geografia, 2023 - repositorio.ul.pt
In Portugal, scholarly attention towards geohazards has grown significantly since the 1980s,
with various analytical methods employed to study these phenomena, including physically …
with various analytical methods employed to study these phenomena, including physically …
GEOHAZARDS IN PORTUGAL:: A STATE OF THE ART
JL Zêzere - Finisterra, 2023 - revistas.rcaap.pt
Em Portugal, a atenção académica para os perigos geomorfológicos tem crescido desde os
anos 80, com utilização de métodos analíticos que incluem modelos de base física …
anos 80, com utilização de métodos analíticos que incluem modelos de base física …
Modelling post‐earthquake cascading hazards: Changing patterns of landslide runout following the 2015 Gorkha earthquake, Nepal
ME Kincey, NJ Rosser, AL Densmore… - Earth surface …, 2023 - Wiley Online Library
Coseismic landslides represent the first stage of a broader cascading sequence of
geohazards associated with high‐magnitude continental earthquakes, with the subsequent …
geohazards associated with high‐magnitude continental earthquakes, with the subsequent …
[HTML][HTML] Debris flow run-out simulation and analysis using a dynamic model
Only two months after a huge forest fire occurred in the upper part of a valley located in
central Portugal, several debris flows were triggered by intense rainfall. The event caused …
central Portugal, several debris flows were triggered by intense rainfall. The event caused …